Hierarchical approach for multiscale support vector regression - PubMed
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Support vector regression (SVR) is based on a linear combination of displaced replicas of the same function, called a kernel.
Abstract—Support vector regression (SVR) is based on a linear combination of displaced replicas of the same function, called a kernel.
(PDF) Multi-scale Support Vector Regression - ResearchGate
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PDF | A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by.
A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by growing) ...
Jul 4, 2004 · We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems.
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PDF | A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by.
The approach is based on interleaving regression estimate with pruning activity. It denoises original data obtaining an effective multiscale reconstruction. The ...
@Article {TNNLS2012, author = {F. Bellocchio and S. Ferrari and V. Piuri and N.A. Borghese}, title = {Hierarchical approach for multiscale support vector ...
First, a hierarchical Bayesian model is developed to obtain the posterior inference of HBSVR model parameters. Then, a step-size adaptive accelerated Markov ...
Bibliographic details on Hierarchical Approach for Multiscale Support Vector Regression.